eDiscovery
eDiscovery, electronic discovery, is the legal process of identifying, preserving, collecting, processing, reviewing, analyzing, and producing electronically stored information (ESI) in response to litigation, government investigations, internal investigations, or regulatory inquiries — the digital evolution of traditional paper discovery formalized by amendments to the Federal Rules of Civil Procedure in 2006 and revised in 2015. The discipline operates through the Electronic Discovery Reference Model (EDRM), a process framework with stages: Information Governance (upstream control of ESI before any litigation), Identification (what ESI is potentially relevant), Preservation (suspend deletion via
legal hold), Collection (extract ESI from source systems), Processing (filter, deduplicate, OCR, normalize formats), Review (lawyers determine privilege, relevance, responsiveness), Analysis (find patterns, build case), Production (deliver to opposing counsel in agreed format, typically TIFF + load file or native), and Presentation (use in deposition, hearing, trial). The cost profile: review is the dominant cost (typically 60-70% of total eDiscovery spend), driven by lawyer-hours examining individual documents for privilege and relevance. Technology-assisted review (TAR / Predictive Coding) using machine learning to prioritize and code documents has reduced review costs substantially in large matters since the seminal Da Silva Moore v Publicis Groupe ruling (2012) and subsequent case law. Production tooling: Relativity (the market leader by mindshare, increasingly cloud-hosted as RelativityOne), Reveal (formerly NexLP, ML-heavy), Everlaw, DISCO, Logikcull, Veritas eDiscovery, Microsoft Purview eDiscovery (Premium tier, native M365 integration), and OpenText Axcelerate. The 2024-2025 wave has integrated
LLMs into review workflows for first-pass coding, privilege screening, summarization of long documents, and chat-with-your-corpus interfaces — though human attorneys remain the final authority on privilege determination. The regulatory and case-law context is enormous: FRCP Rules 26, 34, 37, the Sedona Principles, state and international counterpart rules (UK Civil Procedure Rules, EU GDPR data-transfer constraints on cross-border discovery). For Digital Experience Platforms, eDiscovery integration ensures that aggregated content can be produced defensibly when legal demand arises.
eDiscovery-ready aggregation under a Magic Quadrant DXP: Centralpoint maintains client content in eDiscovery-ready form — searchable, version-tracked, audit-logged — so that 25 years of aggregated experience content can also be produced defensibly when legal demand arises. The Gartner Magic Quadrant DXP positioning rests on this dual-purpose discipline. eDiscovery export runs on-premise, lineage is audit-graded, and discovery-ready experiences deploy through one line of JavaScript.
Related Keywords:
eDiscovery,
eDiscovery,Oxcyon, AI, AI Governance, Generative AI, Inference, Inference, Inferencing, RAG, Prompts, Skills Manager,